Triple
T12575026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Ramp trail |
E300183
|
entity |
| Predicate | elevationGainRelativeToBase |
P105500
|
FINISHED |
| Object | steep ascent to plateau |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: steep ascent to plateau | Statement: [Roman Ramp trail, elevationGainRelativeToBase, steep ascent to plateau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationGainRelativeToBase Context triple: [Roman Ramp trail, elevationGainRelativeToBase, steep ascent to plateau]
-
A.
hasApproxElevationGainFt
Indicates that one entity is associated with an approximate amount of elevation gain, measured in feet, relative to another context or reference.
-
B.
elevationAtBase
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
-
C.
trailheadElevation
Indicates the elevation at which a trail begins, typically measured at its starting point or trailhead.
-
D.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
E.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 4:46 p.m.